Research on Design of Dynamic Collaborative Systems by Organizing Perceptual-Action Concepts within Human-Machine Coexisting Environments

在本研究计画中，我们借由在人机共存的环境中组织知觉-动作的概念，发展出一个动态的协同系统。该项目的主要目的是让机器系统能够与人类交互（即，通过这种能力，机器系统将能够成为人类的友好伙伴，通过交替他们的工作，并通过为他们提供自己的观点来指导他们，有时还批评人类的行为。这种人与机器智能体之间的持续交互将与人建立一种新的伙伴关系，而不是传统的分配给人和机器的固定角色。在本项目中，我们重点研究了机器的概念学习，包括概念形成，动态模型构建和共享运动概念等。特别是，进化计算技术，如遗传算法和遗传编程，是为此目的而引入的。在此基础上，我们将我们的思想应用到一个界面代理的高风险，时间紧迫的决策。在第二年，由人类和这样的人工智能体系统产生的相互作用进行了分析，与他们的动力学和涌现属性。我们处理的目标域是：以人为中心的自动化接口代理，和移动的机器人的遥操作系统。

In this research project, we developed a dynamic collaborative systems by organizing perceptual-action concepts within the human-machine coexisting environments. The main purpose of this project is to let the machine system to be able to interact with the human (i.e., users and operators of the plants) and to capture their concepts by observing their behaviors, By this capability the machine system would be able to become a friendly partner for the human by alternating their works and by providing them with its own views for guiding them and sometimes for criticizing the human behaviors. Such continuous interactions between the human and the machine agents will establish a new partnership with the human instead of the conventional fixed roles allocated to the human and the machine.In this project, we focused on the conceptual leaming of the machine including concept formation, dynamic model construction and sharing motion concepts, etc. Especially, evolutional computation techniques such as genetic algorithms and genetic programming are introduced for this purpose. Based on that, we applied our ideas to an interface agent's making high-stakes, time-critical decisions, In the second year, the interactions generated by the human and such artifact agent systems were analyzed wit h respect to their dynamics and emergent properties. The target domains we dealt with are ; interface agent for human-centered automation, and a teleoperation system for mobile robots.